Apple just proved AI "reasoning" models like Claude, DeepSeek-R1, and o3-mini don't actually reason at all. They just memorize patterns really well.
Technology
356
Beiträge
149
Kommentatoren
3.2k
Aufrufe
-
this is so Apple, claiming to invent or discover something "first" 3 years later than the rest of the market
Trust Apple. Everyone else who were in the space first are lying.
-
Why would they "prove" something that's completely obvious?
I don’t want to be critical, but I think if you step back a bit and look and what you’re saying, you’re asking why we would bother to experiment and prove what we think we know.
That’s a perfectly normal and reasonable scientific pursuit. Yes, in a rational society the burden of proof would be on the grifters, but that’s never how it actually works. It’s always the doctors disproving the cure-all, not the snake oil salesmen failing to prove their own prove their own product.
There is value in this research, even if it fits what you already believe on the subject. I would think you would be thrilled to have your hypothesis confirmed.
The sticky wicket is the proof that humans (functioning 'normally') do more than pattern.
-
Yesterday I asked an LLM "how much energy is stored in a grand piano?" It responded with saying there is no energy stored in a grad piano because it doesn't have a battery.
Any reasoning human would have understood that question to be referring to the tension in the strings.
Another example is asking "does lime cause kidney stones?". It didn't assume I mean lime the mineral and went with lime the citrus fruit instead.
Once again a reasoning human would assume the question is about the mineral.
Ask these questions again in a slightly different way and you might get a correct answer, but it won't be because the LLM was thinking.
Honestly, i thought about the chemical energy in the materials constructing the piano and what energy burning it would release.
-
does ANY model reason at all?
I think I do. Might be an illusion, though.
-
LOOK MAA I AM ON FRONT PAGE
It has so much data, it might as well be reasoning. As it helped me with my problem.
-
That depends on your assumption that the left would have anything relevant to gain by embracing AI (whatever that's actually supposed to mean).
What isn't there to gain?
Its power lies in ingesting language and producing infinite variations. We can feed it talking points, ask it to refine our ideas, test their logic, and even request counterarguments to pressure-test our stance. It helps us build stronger, more resilient narratives.
We can use it to make memes. Generate images. Expose logical fallacies. Link to credible research. It can detect misinformation in real-time and act as a force multiplier for anyone trying to raise awareness or push back on disinfo.
Most importantly, it gives a voice to people with strong ideas who might not have the skills or confidence to share them. Someone with a brilliant comic concept but no drawing ability? AI can help build a framework to bring it to life.
Sure, it has flaws. But rejecting it outright while the right embraces it? That’s beyond shortsighted it’s self-sabotage. And unfortunately, after the last decade, that kind of misstep is par for the course.
-
You assume humans do the opposite? We literally institutionalize humans who not follow set patterns.
Some of them, sometimes. But some are adulated and free and contribute vast swathes to our culture and understanding.
-
LOOK MAA I AM ON FRONT PAGE
I mean... Is that not reasoning, I guess? It's what my brain does-- recognizes patterns and makes split second decisions.
-
Honestly, i thought about the chemical energy in the materials constructing the piano and what energy burning it would release.
The tension of the strings would actually be a pretty miniscule amount of energy too, since there's very little stretch to a piano wire, the force might be high, but the potential energy/work done to tension the wire is low (done by hand with a wrench).
Compared to burning a piece of wood, which would release orders of magnitude more energy.
-
Yesterday I asked an LLM "how much energy is stored in a grand piano?" It responded with saying there is no energy stored in a grad piano because it doesn't have a battery.
Any reasoning human would have understood that question to be referring to the tension in the strings.
Another example is asking "does lime cause kidney stones?". It didn't assume I mean lime the mineral and went with lime the citrus fruit instead.
Once again a reasoning human would assume the question is about the mineral.
Ask these questions again in a slightly different way and you might get a correct answer, but it won't be because the LLM was thinking.
I'm not sure how you arrived at lime the mineral being a more likely question than lime the fruit. I'd expect someone asking about kidney stones would also be asking about foods that are commonly consumed.
This kind of just goes to show there's multiple ways something can be interpreted. Maybe a smart human would ask for clarification, but for sure AIs today will just happily spit out the first answer that comes up. LLMs are extremely "good" at making up answers to leading questions, even if it's completely false.
-
TBH idk how people can convince themselves otherwise.
They don’t convince themselves. They’re convinced by the multi billion dollar corporations pouring unholy amounts of money into not only the development of AI, but its marketing. Marketing designed to not only convince them that AI is something it’s not, but also that that anyone who says otherwise (like you) are just luddites who are going to be “left behind”.
It's no surprise to me that the person at work who is most excited by AI, is the same person who is most likely to be replaced by it.
-
LOOK MAA I AM ON FRONT PAGE
No way!
Statistical Language models don't reason?
But OpenAI, robots taking over!
-
I mean... Is that not reasoning, I guess? It's what my brain does-- recognizes patterns and makes split second decisions.
Yes, this comment seems to indicate that your brain does work that way.
-
It's no surprise to me that the person at work who is most excited by AI, is the same person who is most likely to be replaced by it.
Yeah the excitement comes from the fact that they’re thinking of replacing themselves and keeping the money. They don’t get to “Step 2” in theirs heads lmao.
-
LOOK MAA I AM ON FRONT PAGE
Thank you Captain Obvious! Only those who think LLMs are like "little people in the computer" didn't knew this already.
-
LOOK MAA I AM ON FRONT PAGE
Of course, that is obvious to all having basic knowledge of neural networks, no?
-
Maybe you failed all your high school classes, but that ain't got none to do with me.
Funny how triggering it is for some people when anyone acknowledges humans are just evolved primates doing the same pattern matching.
-
lol is this news? I mean we call it AI, but it’s just LLM and variants it doesn’t think.
Proving it matters. Science is constantly proving any other thing that people believe is obvious because people have an uncanning ability to believe things that are false. Some people will believe things long after science has proven them false.
-
Maybe they are so far behind because they jumped on the same train but then failed at achieving what they wanted based on the claims. And then they started digging around.
Yes, Apple haters can't admit nor understand it but Apple doesn't do pseudo-tech.
They may do silly things, they may love their 100% mark up but it's all real technology.
The AI pushers or today are akin to the pushers of paranormal phenomenon from a century ago. These pushers want us to believe, need us to believe it so they can get us addicted and extract value from our very existence.
-
No, it shows how certain people misunderstand the meaning of the word.
You have called npcs in video games "AI" for a decade, yet you were never implying they were somehow intelligent. The whole argument is strangely inconsistent.
Intellegence has a very clear definition.
It's requires the ability to acquire knowledge, understand knowledge and use knowledge.
No one has been able to create an system that can understand knowledge, therefor me none of it is artificial intelligence. Each generation is merely more and more complex knowledge models. Useful in many ways but never intelligent.
